collapse (version 1.7.6)

fdroplevels: Fast Removal of Unused Factor Levels

Description

A substantially faster replacement for droplevels.

Usage

fdroplevels(x, ...)
# S3 method for factor
fdroplevels(x, ...)
# S3 method for data.frame
fdroplevels(x, ...)

Arguments

x

a factor, or data frame / list containing one or more factors.

…

not used.

Value

x will any unused factor levels removed.

Details

droplevels passes a factor from which levels are to be dropped to factor, which first calls unique and then match to drop unused levels. Both functions internally use a hash table, which is highly inefficient. fdroplevels does not require mapping values at all, but uses a super fast boolean vector method to determine which levels are unused and remove those levels. In addition, if no unused levels are found, x is simply returned. Any missing values found in x are efficiently skipped in the process of checking and replacing levels. All other attributes of x are preserved.

See Also

qF, funique, Fast Grouping and Ordering, Collapse Overview

Examples

# NOT RUN {
f <- iris$Species[1:100]
fdroplevels(f)
identical(fdroplevels(f), droplevels(f))

fNA <- na_insert(f)
fdroplevels(fNA)
identical(fdroplevels(fNA), droplevels(fNA))

identical(fdroplevels(ss(iris, 1:100)), droplevels(ss(iris, 1:100)))
# }